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A Deployment Audit of Release-Side Risk in Conformal Triage under Prevalence Shift

Occurred
May 20, 2026
Published
May 20, 2026
Source
arXiv

Summary

Conformal triage converts predictive scores into deployment actions that either release a case, flag it for urgent attention, or defer it to human review. Under prevalence shift, however, the usual summaries of marginal coverage and human-review rate can miss the safety-critical question of whether patients who truly experience the target event are released without review. To address this gap, we introduce a leakage-aware deployment audit for release-side conformal triage. It first assigns target subjects to three non-overlapping roles: prevalence correction, conformal calibration, and held-out release-safety evaluation. This separation then lets the audit evaluate release directly: how many event-positive patients are cleared without review, whether the pilot has enough event labels for calibration, and how the safety-review trade-off shifts. Applying this audit to a retrospective NSCLC pilot shows why lower review can be misleading: after prevalence correction, the pooled conformal branch lowers review by releasing more patients, some of whom are event-positive. Within the audit, the classwise branch acts as a scarcity diagnostic: the pilot has too few event labels to certify safe low-review release.

Classification

Category confidence: 70%
Severity confidence: 80%

Rationale: Research paper on AI safety audit methodology for medical triage systems, no concrete incident reported.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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